Enterprise Data Pipelines for Conversational AI
Global Voices. Perfect Transcription.
Voice assistants and NLU engines need diverse, authentic speech data. We collect, transcribe, and annotate conversational utterances across a multitude of languages and dialects to build robust speech AI.
Conversational Utterance Collection
We deploy global crowd-sourcing to capture natural, spontaneous conversational utterances, both single-speaker queries and multi-participant dialogues, across varied acoustic environments.
Single Speaker Transcription & TTS
Our expert linguists transcribe audio with phoneme-level precision. We also build high-fidelity voice corpuses designed specifically for training Text-to-Speech (TTS) models.
Multi-Language Support
We operate across 50+ languages and regional dialects, ensuring your speech models understand local idioms, accents, and code-switching without bias.
Linguistic QA
Every transcript goes through a rigorous linguistic QA process. We verify intent classification, sentiment tags, and ensure exact alignment between audio waveforms and text.
The Pipeline Engine
Corpus Design
Structuring intent hierarchies, entities, and dialogue flows.
Speech Collection
Native speakers generate authentic dialogue across diverse dialects and acoustics.
Diarization & Transcription
Perfectly aligning audio with structured text and sentiment layers.
NLU Export
Delivering utterance-intent pairs ready for ASR and NLU engine training.
Start Your Conversational AI Pilot
Stop worrying about data quality. Book a technical scoping call with our engineers today to design a custom pipeline for your model.